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1.
Clin Biomech (Bristol, Avon) ; 27(8): 807-12, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22583907

ABSTRACT

BACKGROUND: Cement injection into osteolytic areas around the cement mantle is a technique for refixation of loose hip implants for patients who cannot undergo standard revision surgery. Preliminary clinical results show the improvement in walking distance, patients' independence and pain relief. METHODS: In this study, we use a detailed finite element model to analyze whether cement injection into osteolytic areas contributes to the overall implant stability. We study the effect of various factors, like location and size of osteolytic areas, interface conditions and bone stiffness on bone-cement relative motion. FINDINGS: Presented results demonstrate that the procedure is most effective for the osteolytic areas located in the proximal region of the femur, while factors like a thin layer of residual fibrous tissue around the injected cement, that was not removed during the surgery, combined with reduced bone stiffness reduce the efficiency of the procedure. INTERPRETATION: Cement injection is able to stabilize loosened hip prostheses. However, it is important to remove the fibrous tissue layer completely, as even a thin layer will negatively influence stabilization. We will focus our research efforts on developing fibrous tissue removal techniques in order to optimize this minimally invasive treatment.


Subject(s)
Bone Cements/chemistry , Hip Prosthesis , Hip/surgery , Aged , Arthroplasty, Replacement, Hip/methods , Bone and Bones/pathology , Cementation/methods , Elastic Modulus , Finite Element Analysis , Hip/physiopathology , Humans , Male , Models, Anatomic , Osteolysis , Reoperation , Tomography, X-Ray Computed/methods
2.
J Biomech Eng ; 130(5): 051015, 2008 Oct.
Article in English | MEDLINE | ID: mdl-19045522

ABSTRACT

The geometry of an implant surface to best promote osseointegration has been the subject of several experimental studies, with porous beads and woven mesh surfaces being among the options available. Furthermore, it is unlikely that one surface geometry is optimal for all loading conditions. In this paper, a computational method is used to simulate tissue differentiation and osseointegration on a smooth surface, a surface covered with sintered beads (this simulated the experiment (Simmons, C., and Pilliar, R., 2000, Biomechanical Study of Early Tissue Formation Around Bone-Interface Implants: The Effects of Implant Surface Geometry," Bone Engineering, J. E. Davies, ed., Emsquared, Chap. A, pp. 369-379) and established that the method gives realistic results) and a surface covered by porous tantalum. The computational method assumes differentiation of mesenchymal stem cells in response to fluid flow and shear strain and models cell migration and proliferation as continuum processes. The results of the simulation show a higher rate of bone ingrowth into the surfaces with porous coatings as compared with the smooth surface. It is also shown that a thicker interface does not increase the chance of fixation failure.


Subject(s)
Bone and Bones/cytology , Bone and Bones/physiology , Cell Differentiation/physiology , Models, Biological , Osteoblasts/physiology , Osteogenesis/physiology , Prostheses and Implants , Animals , Computer Simulation , Humans , Surface Properties
3.
Biomech Model Mechanobiol ; 7(6): 443-61, 2008 Dec.
Article in English | MEDLINE | ID: mdl-17972123

ABSTRACT

Modelling the course of healing of a long bone subjected to loading has been the subject of several investigations. These have succeeded in predicting the differentiation of tissues in the callus in response to a static mechanical load and the diffusion of biological factors. In this paper an approach is presented which includes both mechanoregulation of tissue differentiation and the diffusion and proliferation of cell populations (mesenchymal stem cells, fibroblasts, chondrocytes, and osteoblasts). This is achieved in a three-dimensional poroelastic finite element model which, being poroelastic, can model the effect of the frequency of dynamic loading. Given the number of parameters involved in the simulation, a parameter variation study is reported, and final parameters are selected based on comparison with an in vivo experiment. The model predicts that asymmetric loading creates an asymmetric distribution of tissues in the callus, but only for high bending moments. Furthermore the frequency of loading is predicted to have an effect. In conclusion, a numerical algorithm is presented incorporating both mechanoregulation and evolution of cell populations, and it proves capable of predicting realistic difference in bone healing in a 3D fracture callus.


Subject(s)
Cell Differentiation/physiology , Cell Proliferation , Fracture Healing/physiology , Fractures, Bone/physiopathology , Mechanotransduction, Cellular/physiology , Animals , Bone Regeneration/physiology , Bony Callus/physiopathology , Calibration , Computer Simulation , Finite Element Analysis , Reproducibility of Results , Sheep
4.
J Biomech ; 38(5): 1023-33, 2005 May.
Article in English | MEDLINE | ID: mdl-15797584

ABSTRACT

Glenoid component loosening is the major problem of total shoulder arthroplasty. It is possible that uncemented component may be able to achieve superior fixation relative to cemented component. One option for uncemented glenoid is to use porous tantalum backing. Bone ingrowth into the porous backing requires a degree of stability to be achieved directly post-operatively. This paper investigates the feasibility of bone ingrowth with respect to the influence of primary fixation, elastic properties of the backing and friction at the bone prosthesis interface. Finite element models of three glenoid components with different primary fixation configurations are created. Bone ingrowth into the porous backing is modelled based on the magnitude of the relative interface micromotions and mechanoregulation of the mesenchymal stem cells that migrated via the bonded part of the interface. Primary fixation had the most influence on bone ingrowth. The simulation showed that its major role was not to firmly interlock the prosthesis, but rather provide such a distribution of load, that would result in reduction of the peak interface micromotions. Should primary fixation be provided, friction has a secondary importance with respect to bone ingrowth while the influence of stiffness was counter intuitive: a less stiff backing material inhibits bone ingrowth by higher interface micromotions and stimulation of fibrous tissue formation within the backing.


Subject(s)
Joint Prosthesis , Mesenchymal Stem Cells/physiology , Models, Biological , Osseointegration/physiology , Osteoblasts/physiology , Shoulder Joint/physiopathology , Shoulder Joint/surgery , Tantalum/chemistry , Cell Differentiation/physiology , Cell Movement/physiology , Coated Materials, Biocompatible/chemistry , Computer Simulation , Computer-Aided Design , Elasticity , Equipment Failure Analysis/methods , Feasibility Studies , Humans , Materials Testing , Mesenchymal Stem Cells/cytology , Osteoblasts/cytology , Osteogenesis/physiology , Porosity , Prosthesis Design/methods , Stress, Mechanical
5.
J Biomech ; 37(5): 763-9, 2004 May.
Article in English | MEDLINE | ID: mdl-15047006

ABSTRACT

The application of a bone chamber provides a controlled environment for the study of tissue differentiation and bone adaptation. The influence of different mechanical and biological factors on the processes can be measured experimentally. The goal of the present work is to numerically model the process of peri-implant tissue differentiation inside a bone chamber, placed in a rabbit tibia. 2D and 3D models were created of the tissue inside the chamber. A number of loading conditions, corresponding to those applied in the rabbit experiments, were simulated. Fluid velocity and maximal distortional strain were considered as the stimuli that guide the differentiation process of mesenchymal cells into fibroblasts, chondrocytes and osteoblasts. Mesenchymal cells migrate through the chamber from the perforations in the chamber wall. This process is modelled by the diffusion equation. The predicted tissue phenotypes as well as the process of tissue ingrowth into the chamber show a qualitative agreement with the results of the rabbit experiments. Due to the limited number of animal experiments (four) and the observed inter-animal differences, no quantitative comparison could be made. These results however are a strong indication of the feasibility of the implemented theory to predict the mechano-regulation of the differentiation process inside the bone chamber.


Subject(s)
Cell Differentiation/physiology , Culture Techniques/methods , Implants, Experimental , Mechanotransduction, Cellular/physiology , Models, Biological , Tibia/cytology , Tibia/physiology , Animals , Computer Simulation , Rabbits , Titanium
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